Udemy - Data Analyst Boot camp 2025 Get Ready to Be a Data Analyst (7.2025)
File List
- 32. Statistics for Data Science/21. Linear Regression OLS model, Residual Analysis,Coefficients, P-Values, R-squared.mp4 199.3 MB
- 37. Project 12 Using Pandas + Automation to Manage a Business Email List/3. Part 3.mp4 169.3 MB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/23. Logistic Regression Regularization & Identifying Negative Reviews.mp4 146.1 MB
- 29. Project 7 Data Analysis using SQL + Python/1. How to Scrape a website.mp4 143.7 MB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/33. Dimension Reduction with PCA and Non-negative Matrix Factorization (NMF).mp4 137.7 MB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/25. Multi-class Logistic Regression.mp4 137.6 MB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/22. Loss Function Diagrams.mp4 131.1 MB
- 37. Project 12 Using Pandas + Automation to Manage a Business Email List/2. Part 2.mp4 127.2 MB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/24. Logistic Regression and Probabilities.mp4 115.8 MB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/28. Transforming Features for Better Clustering & Clustering Stocks Using KMeans.mp4 108.7 MB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/13. Preprocessing Data and Creating Dummy Variable for Categorical Data Variables.mp4 106.6 MB
- 08. Project 4 Twiter Chat Bot/3. Part 3.mp4 105.5 MB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/19. Linear Classifier & Decision Boundaries.mp4 101.8 MB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/17. Comparing Models.mp4 101.2 MB
- 11. SQL Introduction/4. Airlines.sql 99.1 MB
- 35. Project 10 Building Recommender System using NMF/1. Learn How to Building Recommender System using NMF!.mp4 98.6 MB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/26. Unsupervised Learning The Fundamentals of Clustering.mp4 97.5 MB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/11. Logistic Regression and the ROC Curve.mp4 97.4 MB
- 36. Project 11 Google App Data Analysis/3. 3. Data Visualization Techniques.mp4 97.1 MB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/15. Centering and Scaling Techniques in ML Supervised Learning Algorithms.mp4 97.1 MB
- 32. Statistics for Data Science/22. Multiple Linear Regression with statsmodels - Expanding to Multiple Predictors.mp4 91.6 MB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/14. Handling Missing Data And Creating The ML Pipeline.mp4 91.3 MB
- 32. Statistics for Data Science/20. Hypothesis Testing Essentials - Chi-Square test for independence.mp4 90.6 MB
- 20. Intermediate Sub-queries & Common Table Expression in SQL/2. SQL Sub-query + EXISTS, ANY OR ALL.mp4 90.2 MB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/31. Visualizing The PCA Transformation & Calculating Cumulative Explained Variance.mp4 89.8 MB
- 32. Statistics for Data Science/12. Summary Statistics & Outliers.mp4 89.3 MB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/16. Evaluating Multiple Models with Examples.mp4 89.0 MB
- 03. OOP in Python/2. Overviewing Constructor.mp4 88.0 MB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/18. Logistic Regression and Support Vector Machines for Text Classification.mp4 82.6 MB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/21. What is The Loss Function.mp4 82.2 MB
- 25. How to Use Python + SQL/4. Using Pandas Library to load PostgreSQL Data Output file.mp4 81.9 MB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/12. Hyperparameter Tuning with GridSearchCV & RandomizedSearchCV.mp4 81.5 MB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/20. Linear Classifiers & The Coefficients.mp4 80.4 MB
- 27. Accessing, Manipulating & Filtering DataFrames Lectures/2. Accessing Data Using DataFrames.mp4 79.9 MB
- 32. Statistics for Data Science/15. Introduction to Statsmodels.mp4 79.2 MB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/30. t-SNE for 2-dimensional maps.mp4 78.8 MB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/27. Clustering Evaluation & Optimization.mp4 78.7 MB
- 07. Project 3 in Python/3. Project Solution.mp4 77.5 MB
- 27. Accessing, Manipulating & Filtering DataFrames Lectures/3. Data aggregation and summarization.mp4 76.9 MB
- 27. Accessing, Manipulating & Filtering DataFrames Lectures/1. Data manipulation using DataFrames.mp4 75.8 MB
- 32. Statistics for Data Science/16. Exploring Datasets with Descriptive Statistics.mp4 75.5 MB
- 27. Accessing, Manipulating & Filtering DataFrames Lectures/6. Filtering Data.mp4 75.3 MB
- 27. Accessing, Manipulating & Filtering DataFrames Lectures/5. Essential Techniques for Peeking at & Describing our Data in Python.mp4 73.0 MB
- 41. Using ChatGPT and Generative AI for Data/2. Generative AI for Data Science.mp4 72.4 MB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/3. The Supervised Learning Workflow.mp4 72.4 MB
- 32. Statistics for Data Science/7. Data Visualization - Histogram.mp4 70.3 MB
- 06. Project 2 in Python/4. Project Solution Part 2.mp4 70.0 MB
- 27. Accessing, Manipulating & Filtering DataFrames Lectures/4. Create New Columns, Drop Unnecessary Ones, and Perform Various Data Manipulation.mp4 69.8 MB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/29. Hierarchical Clustering & Visualizing Hierarchies.mp4 69.5 MB
- 05. Project 1 in Python/3. Project Solution.mp4 69.4 MB
- 21. Advanced PostgreSQL Math & Window functions/3. Window Functions RANK() + OVER() & NTILE() + OVER().mp4 68.8 MB
- 39. Time Series Data Analysis using Python/2. Introduction to Time Series Analysis.mp4 68.4 MB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/32. Dimension Reduction with PCA.mp4 68.3 MB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/8. Regularized Regression.mp4 67.9 MB
- 39. Time Series Data Analysis using Python/8. Window Functions in Time Series Analysis.mp4 67.7 MB
- 09. Project 5 Face book Chat Bot/4. Hooking and Runnig The FB ChatBot App Using Ngrok.mp4 66.4 MB
- 36. Project 11 Google App Data Analysis/6. 6. Conclusion.mp4 65.7 MB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/7. Cross-validation for R-squared & Analyzing Cross-Validation Metrics.mp4 65.1 MB
- 32. Statistics for Data Science/19. Hypothesis Testing Essentials - Paired t-test.mp4 64.9 MB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/4. Measuring Model Performance.mp4 62.8 MB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/9. The k-Nearest Neighbors Classification Supervised ML Learning Algorithms.mp4 61.9 MB
- 20. Intermediate Sub-queries & Common Table Expression in SQL/3. Common Table Expression.mp4 61.0 MB
- 36. Project 11 Google App Data Analysis/1. 1. Visual Exploring of Google App Store Data.mp4 60.9 MB
- 39. Time Series Data Analysis using Python/4. Accessing Datetime Attributes, Comparing Datetimes, & Making Relative Datetime.mp4 60.5 MB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/10. How Good is your Model and How to use Random Forest Classifier.mp4 60.3 MB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/6. The Basics of Linear regression & Regression Performance.mp4 58.7 MB
- 06. Project 2 in Python/2. Project Helful Notes.mp4 58.4 MB
- 02. Python Basics/23. Files and Modules in Python.mp4 58.3 MB
- 39. Time Series Data Analysis using Python/5. Understanding Time Series Growth Rates & Comparing Stock Prices with a Benchmark.mp4 56.0 MB
- 05. Project 1 in Python/2. Project Helpful Notes.mp4 55.7 MB
- 08. Project 4 Twiter Chat Bot/2. Part 2.mp4 54.4 MB
- 32. Statistics for Data Science/13. Correlations & Heatmaps.mp4 54.0 MB
- 11. SQL Introduction/1. Introduction.mp4 53.8 MB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/1. Introduction to Machine learning with scikit-learn.mp4 53.7 MB
- 40. Project 14 Time Series Analysis of Betcoin Historical Data dataset/5. Predicting Future Bitcoin Prices.mp4 53.4 MB
- 19. Intermediate SQL Joins/1. INNER JOIN.mp4 53.0 MB
- 31. Project 9 Save The Scraped Data to a Database/1. Save The Scraped Data to a newly created Database.mp4 51.8 MB
- 36. Project 11 Google App Data Analysis/5. 5. Data Storytelling.mp4 51.7 MB
- 15. SQL Basics Part 3/1. LIMIT & ORDER BY.mp4 51.6 MB
- 32. Statistics for Data Science/10. Central Tendency & Measures of Data Center.mp4 51.0 MB
- 39. Time Series Data Analysis using Python/3. Creating, Converting Datetimes from Strings & Manipulating Datetime Data.mp4 51.0 MB
- 32. Statistics for Data Science/14. Computing Covariance.mp4 50.9 MB
- 32. Statistics for Data Science/6. Data Visualization - Pie Chart.mp4 50.7 MB
- 23. Advanced Other SQL Functions/1. GROUPING SETS(), ROLLUP(), CUBE().mp4 50.7 MB
- 33. AB Testing Overview using Python/2. Designing an AB Test for Marketing Data with Segmentation in Python.mp4 50.1 MB
- 36. Project 11 Google App Data Analysis/4. 4. Statistical Analysis and Hypothesis Testing.mp4 49.8 MB
- 14. SQL Basics Part 2/1. Where Clause.mp4 49.7 MB
- 09. Project 5 Face book Chat Bot/2. Facebook Developer App Creating And Downloading Ngrok.mp4 49.7 MB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/5. Introduction to Regression.mp4 49.5 MB
- 08. Project 4 Twiter Chat Bot/1. Part 1.mp4 49.4 MB
- 28. Data Visualization/4. Determining and Choosing the Appropriate Plot Type.mp4 49.3 MB
- 30. Project 8 Data Visualization of the Scraped Data/1. Data Visualization of the Scraped Data.mp4 49.1 MB
- 39. Time Series Data Analysis using Python/6. Changing Time Series Frequency By Up-Sampling & Interpolation.mp4 48.7 MB
- 40. Project 14 Time Series Analysis of Betcoin Historical Data dataset/4. Creating Forecasting Models.mp4 48.3 MB
- 39. Time Series Data Analysis using Python/7. Changing Time Series Frequency & Down-Sampling.mp4 47.7 MB
- 01. Python Introduction/4. Python2 VS Python3.mp4 46.3 MB
- 01. Python Introduction/5. Understanding Data Types in Python.mp4 46.2 MB
- 28. Data Visualization/2. Histograms – a Powerful Tool for Visualizing the Distribution of Data.mp4 46.1 MB
- 39. Time Series Data Analysis using Python/9. Stock Price Series Analysis with Lags.mp4 45.6 MB
- 33. AB Testing Overview using Python/1. Designing an AB Test for Marketing Data in Python.mp4 44.8 MB
- 36. Project 11 Google App Data Analysis/2. 2. Data Cleaning and Preprocessing of Google App Store Data.mp4 44.8 MB
- 32. Statistics for Data Science/11. Spread & Measures of Data Spread.mp4 43.6 MB
- 21. Advanced PostgreSQL Math & Window functions/4. Window Functions OVER() + LEAD().mp4 43.5 MB
- 38. Project 13 Tabular Playground Series Analysis/3. 3. Train-Test Split and Model Selection.mp4 42.9 MB
- 10. Numpy Python Library/3. 3. Creating Numpy nd arrays using Numpy functions.mp4 42.3 MB
- 10. Numpy Python Library/2. 2. Numpy.shape & Numpy.size.mp4 41.9 MB
- 28. Data Visualization/3. Visualizing Trends using a Real-World Financial Data.mp4 41.8 MB
- 32. Statistics for Data Science/23. Handling Multicollinearity in Multiple Linear Regression with statsmodels VIF.mp4 41.8 MB
- 19. Intermediate SQL Joins/2. Joins Types Overview.mp4 41.6 MB
- 14. SQL Basics Part 2/5. (Where Clause + BETWEEN & IN) & AS.mp4 41.6 MB
- 10. Numpy Python Library/7. 7. Numpy Reshape and Transposing.mp4 41.2 MB
- 26. Project 6 Using Python Pandas in Data Analysis of PostgreSQL Data output/2. Visualizing Data.mp4 41.2 MB
- 29. Project 7 Data Analysis using SQL + Python/2. Scrape a Table inside a Webpage using Pandas and LXML Python Modules!.mp4 41.1 MB
- 22. Advanced PostgreSQL String Functions/3. PostgreSQL LEFT(), RIGHT(), BTRIM() & SPLIT_PART() Functions.mp4 40.1 MB
- 33. AB Testing Overview using Python/3. Calculating Lift & Significance Testing for Marketing Data in Python.mp4 40.0 MB
- 32. Statistics for Data Science/18. Hypothesis Testing Essentials - One-sample and two-sample t-tests.mp4 39.9 MB
- 21. Advanced PostgreSQL Math & Window functions/1. Math Functions.mp4 39.9 MB
- 03. OOP in Python/9. Learning How to use Build in Decorators.mp4 39.1 MB
- 10. Numpy Python Library/5. 5. Numpy Calculations and Operators.mp4 38.9 MB
- 20. Intermediate Sub-queries & Common Table Expression in SQL/1. Sub-queries.mp4 38.8 MB
- 18. SQL Time Data management/3. DATE_TRUNC() & DATE_PART().mp4 38.7 MB
- 38. Project 13 Tabular Playground Series Analysis/1. 1. Reading and Preprocessing Data.mp4 38.4 MB
- 19. Intermediate SQL Joins/6. FULL OUTER JOIN.mp4 38.0 MB
- 22. Advanced PostgreSQL String Functions/5. PostgreSQL LOWER(), UPPER() & INITCAP() Functions.mp4 37.9 MB
- 32. Statistics for Data Science/8. Data Visualization - Box Plot.mp4 37.6 MB
- 41. Using ChatGPT and Generative AI for Data/1. Generative AI for Data Analysis.mp4 36.9 MB
- 32. Statistics for Data Science/17. Hypothesis Testing Essentials - Concept of Hypothesis Testing.mp4 36.8 MB
- 13. SQL Basics Part 1/1. Select Statement.mp4 36.8 MB
- 19. Intermediate SQL Joins/8. UNION, UNION ALL, INTERSECT & EXCEPT.mp4 36.4 MB
- 23. Advanced Other SQL Functions/2. SELECT Statement + INTO & SELECT Statement + INTO + IN.mp4 35.8 MB
- 22. Advanced PostgreSQL String Functions/2. STRPOS() & REPLACE() in PostgreSQL.mp4 35.2 MB
- 06. Project 2 in Python/3. Project Solution Part 1.mp4 34.5 MB
- 40. Project 14 Time Series Analysis of Betcoin Historical Data dataset/1. Introduction.mp4 33.7 MB
- 25. How to Use Python + SQL/3. Querying Using Python Panadas.mp4 33.6 MB
- 22. Advanced PostgreSQL String Functions/4. PostgreSQL CONCAT Function.mp4 33.5 MB
- 05. Project 1 in Python/1. Project Walk through.mp4 32.9 MB
- 14. SQL Basics Part 2/2. Operators used with Where Clause.mp4 31.9 MB
- 26. Project 6 Using Python Pandas in Data Analysis of PostgreSQL Data output/1. Pandas methods and functions.mp4 31.9 MB
- 38. Project 13 Tabular Playground Series Analysis/4. 4. Model Training with XGBoost.mp4 31.8 MB
- 24. Data Analysis Process Overview/1. Data Analysis Process Overview.mp4 31.6 MB
- 09. Project 5 Face book Chat Bot/3. Facebook Chat App & Preset Messaging.mp4 31.2 MB
- 15. SQL Basics Part 3/5. CAST.mp4 30.7 MB
- 21. Advanced PostgreSQL Math & Window functions/5. Window Functions OVER() + LAG().mp4 30.6 MB
- 18. SQL Time Data management/1. Overview of Time Functions in PostgreSQL.mp4 30.6 MB
- 38. Project 13 Tabular Playground Series Analysis/2. 2. Data Transformation and Visualization.mp4 30.5 MB
- 02. Python Basics/9. Dictionaries.mp4 30.3 MB
- 40. Project 14 Time Series Analysis of Betcoin Historical Data dataset/3. Visualizing Time Series Data.mp4 30.2 MB
- 32. Statistics for Data Science/3. Data visulaization Overview.mp4 30.1 MB
- 02. Python Basics/13. While Loop Part 1.mp4 30.0 MB
- 13. SQL Basics Part 1/3. Select Statement For all Airlines Database Tables.mp4 30.0 MB
- 03. OOP in Python/4. Learning about Inheritance.mp4 29.9 MB
- 10. Numpy Python Library/8. 8. Numpy Comparing.mp4 29.7 MB
- 03. OOP in Python/1. Creating Simple Class.mp4 29.4 MB
- 10. Numpy Python Library/9. 9. Numpy Images processing.mp4 29.2 MB
- 01. Python Introduction/6. Understanding Python Data Structure Wrap up.mp4 29.2 MB
- 17. SQL Conditional/1. CASE Clause.mp4 29.2 MB
- 28. Data Visualization/1. Introduction to Data Visualization in Python.mp4 28.6 MB
- 37. Project 12 Using Pandas + Automation to Manage a Business Email List/1. Part 1.mp4 28.6 MB
- 15. SQL Basics Part 3/3. NOT IN.mp4 28.5 MB
- 09. Project 5 Face book Chat Bot/1. Python Flask Library Overview.mp4 28.4 MB
- 19. Intermediate SQL Joins/3. LEFT OUTER JOIN.mp4 27.7 MB
- 03. OOP in Python/8. Learning about Decorators.mp4 27.5 MB
- 02. Python Basics/12. For Loop Part 2.mp4 27.2 MB
- 07. Project 3 in Python/2. Project Helpful Notes.mp4 27.0 MB
- 23. Advanced Other SQL Functions/3. VIEW().mp4 26.9 MB
- 02. Python Basics/8. Sets.mp4 26.9 MB
- 10. Numpy Python Library/4. 4. Numpy.unique( ) & Array slicing.mp4 26.5 MB
- 02. Python Basics/6. Lists.mp4 26.5 MB
- 32. Statistics for Data Science/9. Data Visualization - Distribution of Data.mp4 26.1 MB
- 16. SQL Aggregations/1. COUNT( ) Function, CREATE TABLE & INSERT INTO TABLE.mp4 25.9 MB
- 21. Advanced PostgreSQL Math & Window functions/2. Window Functions OVER().mp4 25.7 MB
- 18. SQL Time Data management/2. TIMESTAMP EXTRACT().mp4 25.4 MB
- 14. SQL Basics Part 2/4. Where Clause + LIKE.mp4 24.9 MB
- 25. How to Use Python + SQL/2. Fetchmany and Fetchall.mp4 24.6 MB
- 17. SQL Conditional/2. NULLIF().mp4 24.4 MB
- 17. SQL Conditional/3. COALESCE() Function in SQL.mp4 24.3 MB
- 10. Numpy Python Library/6. 6. Numpy Aggregations.mp4 23.9 MB
- 40. Project 14 Time Series Analysis of Betcoin Historical Data dataset/2. Data Preprocessing and Cleaning.mp4 23.4 MB
- 26. Project 6 Using Python Pandas in Data Analysis of PostgreSQL Data output/4. Sampling Error.mp4 23.1 MB
- 25. How to Use Python + SQL/1. Installing Jupyter Lab & Pandas.mp4 23.0 MB
- 03. OOP in Python/6. Learning also about Multiple Inheritance.mp4 22.8 MB
- 19. Intermediate SQL Joins/4. Deep understanding of LEFT JOIN.mp4 22.7 MB
- 15. SQL Basics Part 3/2. FETCH vs LIMIT.mp4 22.5 MB
- 11. SQL Introduction/2. PostgreSQL Downloading & Installing.mp4 22.4 MB
- 06. Project 2 in Python/1. Project Walk through.mp4 22.4 MB
- 32. Statistics for Data Science/4. Data Visualization - Bar Chart.mp4 22.1 MB
- 15. SQL Basics Part 3/4. ISNULL & IS NOT NULL.mp4 22.0 MB
- 19. Intermediate SQL Joins/10. USING.mp4 21.9 MB
- 07. Project 3 in Python/1. Project Walk Through.mp4 21.8 MB
- 02. Python Basics/14. While Loop Part 2.mp4 21.1 MB
- 03. OOP in Python/3. Learning How to creating Dunder Methods.mp4 20.7 MB
- 19. Intermediate SQL Joins/5. RIGHT OUTER JOIN.mp4 20.6 MB
- 38. Project 13 Tabular Playground Series Analysis/5. 5. Making Predictions and Submission.mp4 20.1 MB
- 32. Statistics for Data Science/2. What are data, graphs and charts.mp4 19.8 MB
- 18. SQL Time Data management/4. Double Column + DATE IN PostgreSQL & CURRENT_DATE & now( ).mp4 19.6 MB
- 22. Advanced PostgreSQL String Functions/1. PostgreSQL POSITION Function.mp4 19.4 MB
- 12. Airlines Database Overview/2. SQL Database Overview Part 2.mp4 18.8 MB
- 02. Python Basics/21. Functions Tips & Tricks Functions Caching & Memoization.mp4 18.7 MB
- 02. Python Basics/17. Functions in Python and Arguments.mp4 18.7 MB
- 19. Intermediate SQL Joins/7. CROSS JOIN.mp4 18.5 MB
- 13. SQL Basics Part 1/2. Select Challenge Solution.mp4 18.4 MB
- 19. Intermediate SQL Joins/9. SELF JOIN.mp4 18.1 MB
- 26. Project 6 Using Python Pandas in Data Analysis of PostgreSQL Data output/3. Pandas Data Analysis.mp4 18.0 MB
- 02. Python Basics/10. Control Flow IF.mp4 17.9 MB
- 03. OOP in Python/7. Knowing What is the Overriding.mp4 17.9 MB
- 02. Python Basics/1. String Functions in Python Part 1.mp4 17.7 MB
- 14. SQL Basics Part 2/3. Where Clause + AND & Where Clause + OR.mp4 17.2 MB
- 01. Python Introduction/3. Introduction to Python.mp4 17.0 MB
- 02. Python Basics/15. While Loop Best Practices.mp4 15.7 MB
- 01. Python Introduction/2. Environment Preparing for Python.mp4 15.2 MB
- 02. Python Basics/16. Introduction to Functions in Python.mp4 14.9 MB
- 19. Intermediate SQL Joins/11. NATURAL JOIN.mp4 14.9 MB
- 16. SQL Aggregations/4. GROUP BY & HAVING.mp4 14.5 MB
- 32. Statistics for Data Science/5. Data Visualization - Line Chart.mp4 14.4 MB
- 03. OOP in Python/5. Knowing What is the Encapsulation.mp4 14.4 MB
- 32. Statistics for Data Science/1. Introduction.mp4 14.2 MB
- 02. Python Basics/11. For Loop Part 1.mp4 13.5 MB
- 02. Python Basics/3. String Functions in Python Part 3.mp4 12.2 MB
- 13. SQL Basics Part 1/4. Distinct.mp4 11.7 MB
- 12. Airlines Database Overview/3. SQL Data Types.mp4 11.1 MB
- 11. SQL Introduction/4. Restoring Database.mp4 11.0 MB
- 16. SQL Aggregations/3. MIN( ) , MAX( ) & AVG( ) Functions.mp4 10.9 MB
- 02. Python Basics/20. Functions Tips & Tricks Lambda Functions.mp4 10.2 MB
- 02. Python Basics/18. Function Tips & Tricks Recursion.mp4 9.9 MB
- 02. Python Basics/22. Error Handling in Python.mp4 9.7 MB
- 02. Python Basics/19. Function Tips & Tricks Functions Decorators and Higher Order Functions.mp4 9.6 MB
- 02. Python Basics/7. Tuples.mp4 8.7 MB
- 12. Airlines Database Overview/1. SQL Database Overview Part 1.mp4 8.7 MB
- 02. Python Basics/2. String Functions in Python Part 2.mp4 8.1 MB
- 10. Numpy Python Library/1. 1. Numpy Intro.mp4 7.9 MB
- 11. SQL Introduction/3. Creating Database.mp4 6.7 MB
- 02. Python Basics/5. String Functions in Python Part 5.mp4 6.5 MB
- 16. SQL Aggregations/2. SUM( ) Function.mp4 6.2 MB
- 01. Python Introduction/1. Introduction.mp4 5.3 MB
- 02. Python Basics/4. String Functions in Python Part 4.mp4 4.4 MB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/34. ML_Course.ipynb 2.6 MB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/2. movies_data.rar 2.1 MB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/2. healthcare-dataset-stroke-data.csv 309.5 KB
- 02. Python Basics/24. Python Basics Warp Up.pdf 114.3 KB
- 28. Data Visualization/3. financial_data.csv 88.4 KB
- 39. Time Series Data Analysis using Python/1. financial_data.csv 88.4 KB
- 41. Using ChatGPT and Generative AI for Data/3. Using ChatGPT for Data..pdf 50.6 KB
- 32. Statistics for Data Science/21. Linear Regression OLS model, Residual Analysis,Coefficients, P-Values, R-squared.vtt 37.2 KB
- 02. Python Basics/24. Python Basics Warp Up.html 31.5 KB
- 32. Statistics for Data Science/7. Data Visualization - Histogram.vtt 19.9 KB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/25. Multi-class Logistic Regression.vtt 18.8 KB
- 36. Project 11 Google App Data Analysis/7.1 Assignment-The Assignment for Project 10 Google App Store Data EDA.html 18.7 KB
- 39. Time Series Data Analysis using Python/1. benchmark_data.csv 17.5 KB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/23. Logistic Regression Regularization & Identifying Negative Reviews.vtt 17.0 KB
- 42. Bonus/1. Thanks.html 16.9 KB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/22. Loss Function Diagrams.vtt 16.8 KB
- 37. Project 12 Using Pandas + Automation to Manage a Business Email List/3. Part 3.vtt 16.7 KB
- 32. Statistics for Data Science/20. Hypothesis Testing Essentials - Chi-Square test for independence.vtt 16.6 KB
- 32. Statistics for Data Science/12. Summary Statistics & Outliers.vtt 16.4 KB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/33. Dimension Reduction with PCA and Non-negative Matrix Factorization (NMF).vtt 16.3 KB
- 36. Project 11 Google App Data Analysis/7.1 Assignment-The+Practical+Assignment+for+The+Project+Google+App+Store+Data+EDA+Guided+Notebook.ipynb 15.6 KB
- 36. Project 11 Google App Data Analysis/7.1 Solution-The+Practical+Assignment+for+The+Project+Google+App+Store+Data+EDA+Guided+Notebook.ipynb 15.6 KB
- 32. Statistics for Data Science/22. Multiple Linear Regression with statsmodels - Expanding to Multiple Predictors.vtt 15.5 KB
- 32. Statistics for Data Science/16. Exploring Datasets with Descriptive Statistics.vtt 15.1 KB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/28. Transforming Features for Better Clustering & Clustering Stocks Using KMeans.vtt 14.0 KB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/17. Comparing Models.vtt 13.7 KB
- 37. Project 12 Using Pandas + Automation to Manage a Business Email List/2. Part 2.vtt 13.0 KB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/15. Centering and Scaling Techniques in ML Supervised Learning Algorithms.vtt 12.9 KB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/2. boston_housing.xls 12.1 KB
- 36. Project 11 Google App Data Analysis/3. 3. Data Visualization Techniques.vtt 12.1 KB
- 29. Project 7 Data Analysis using SQL + Python/1. How to Scrape a website.vtt 11.9 KB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/16. Evaluating Multiple Models with Examples.vtt 11.8 KB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/11. Logistic Regression and the ROC Curve.vtt 11.6 KB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/24. Logistic Regression and Probabilities.vtt 11.5 KB
- 32. Statistics for Data Science/19. Hypothesis Testing Essentials - Paired t-test.vtt 11.4 KB
- 32. Statistics for Data Science/13. Correlations & Heatmaps.vtt 11.3 KB
- 35. Project 10 Building Recommender System using NMF/1. Learn How to Building Recommender System using NMF!.vtt 11.3 KB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/26. Unsupervised Learning The Fundamentals of Clustering.vtt 11.1 KB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/18. Logistic Regression and Support Vector Machines for Text Classification.vtt 11.0 KB
- 32. Statistics for Data Science/15. Introduction to Statsmodels.vtt 11.0 KB
- 32. Statistics for Data Science/6. Data Visualization - Pie Chart.vtt 10.8 KB
- 32. Statistics for Data Science/8. Data Visualization - Box Plot.vtt 10.8 KB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/19. Linear Classifier & Decision Boundaries.vtt 10.7 KB
- 32. Statistics for Data Science/14. Computing Covariance.vtt 10.4 KB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/13. Preprocessing Data and Creating Dummy Variable for Categorical Data Variables.vtt 10.3 KB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/31. Visualizing The PCA Transformation & Calculating Cumulative Explained Variance.vtt 10.0 KB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/14. Handling Missing Data And Creating The ML Pipeline.vtt 10.0 KB
- 07. Project 3 in Python/3. Project Solution.vtt 9.9 KB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/21. What is The Loss Function.vtt 9.9 KB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/12. Hyperparameter Tuning with GridSearchCV & RandomizedSearchCV.vtt 9.8 KB
- 08. Project 4 Twiter Chat Bot/3. Part 3.vtt 9.4 KB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/30. t-SNE for 2-dimensional maps.vtt 9.4 KB
- 40. Project 14 Time Series Analysis of Betcoin Historical Data dataset/4. Creating Forecasting Models.vtt 9.3 KB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/27. Clustering Evaluation & Optimization.vtt 9.2 KB
- 41. Using ChatGPT and Generative AI for Data/3. GEN AI Most Used Prompts for Data Analyst & Data Scientists.html 9.2 KB
- 19. Intermediate SQL Joins/2. Joins Types Overview.vtt 9.1 KB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/29. Hierarchical Clustering & Visualizing Hierarchies.vtt 9.1 KB
- 32. Statistics for Data Science/11. Spread & Measures of Data Spread.vtt 9.0 KB
- 03. OOP in Python/2. Overviewing Constructor.vtt 8.9 KB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/8. Regularized Regression.vtt 8.8 KB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/4. Measuring Model Performance.vtt 8.8 KB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/3. The Supervised Learning Workflow.vtt 8.7 KB
- 41. Using ChatGPT and Generative AI for Data/2. Generative AI for Data Science.vtt 8.6 KB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/20. Linear Classifiers & The Coefficients.vtt 8.5 KB
- 32. Statistics for Data Science/10. Central Tendency & Measures of Data Center.vtt 8.5 KB
- 01. Python Introduction/5. Understanding Data Types in Python.vtt 8.4 KB
- 28. Data Visualization/4. Determining and Choosing the Appropriate Plot Type.vtt 8.4 KB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/1. Introduction to Machine learning with scikit-learn.vtt 8.3 KB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/9. The k-Nearest Neighbors Classification Supervised ML Learning Algorithms.vtt 8.2 KB
- 28. Data Visualization/2. Histograms – a Powerful Tool for Visualizing the Distribution of Data.vtt 8.1 KB
- 27. Accessing, Manipulating & Filtering DataFrames Lectures/6. Filtering Data.vtt 8.0 KB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/32. Dimension Reduction with PCA.vtt 7.9 KB
- 27. Accessing, Manipulating & Filtering DataFrames Lectures/3. Data aggregation and summarization.vtt 7.9 KB
- 20. Intermediate Sub-queries & Common Table Expression in SQL/2. SQL Sub-query + EXISTS, ANY OR ALL.vtt 7.8 KB
- 02. Python Basics/8. Sets.vtt 7.7 KB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/7. Cross-validation for R-squared & Analyzing Cross-Validation Metrics.vtt 7.7 KB
- 10. Numpy Python Library/2. 2. Numpy.shape & Numpy.size.vtt 7.6 KB
- 32. Statistics for Data Science/17. Hypothesis Testing Essentials - Concept of Hypothesis Testing.vtt 7.6 KB
- 36. Project 11 Google App Data Analysis/1. 1. Visual Exploring of Google App Store Data.vtt 7.5 KB
- 40. Project 14 Time Series Analysis of Betcoin Historical Data dataset/5. Predicting Future Bitcoin Prices.vtt 7.5 KB
- 10. Numpy Python Library/7. 7. Numpy Reshape and Transposing.vtt 7.5 KB
- 32. Statistics for Data Science/4. Data Visualization - Bar Chart.vtt 7.4 KB
- 27. Accessing, Manipulating & Filtering DataFrames Lectures/5. Essential Techniques for Peeking at & Describing our Data in Python.vtt 7.4 KB
- 32. Statistics for Data Science/9. Data Visualization - Distribution of Data.vtt 7.4 KB
- 26. Project 6 Using Python Pandas in Data Analysis of PostgreSQL Data output/2. Visualizing Data.vtt 7.4 KB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/10. How Good is your Model and How to use Random Forest Classifier.vtt 7.4 KB
- 20. Intermediate Sub-queries & Common Table Expression in SQL/3. Common Table Expression.vtt 7.3 KB
- 06. Project 2 in Python/4. Project Solution Part 2.vtt 7.3 KB
- 02. Python Basics/13. While Loop Part 1.vtt 7.2 KB
- 09. Project 5 Face book Chat Bot/4. Hooking and Runnig The FB ChatBot App Using Ngrok.vtt 7.2 KB
- 27. Accessing, Manipulating & Filtering DataFrames Lectures/4. Create New Columns, Drop Unnecessary Ones, and Perform Various Data Manipulation.vtt 7.2 KB
- 02. Python Basics/12. For Loop Part 2.vtt 7.2 KB
- 38. Project 13 Tabular Playground Series Analysis/3. 3. Train-Test Split and Model Selection.vtt 7.0 KB
- 27. Accessing, Manipulating & Filtering DataFrames Lectures/1. Data manipulation using DataFrames.vtt 7.0 KB
- 36. Project 11 Google App Data Analysis/5. 5. Data Storytelling.vtt 6.9 KB
- 33. AB Testing Overview using Python/2. Designing an AB Test for Marketing Data with Segmentation in Python.vtt 6.9 KB
- 27. Accessing, Manipulating & Filtering DataFrames Lectures/2. Accessing Data Using DataFrames.vtt 6.7 KB
- 32. Statistics for Data Science/18. Hypothesis Testing Essentials - One-sample and two-sample t-tests.vtt 6.7 KB
- 15. SQL Basics Part 3/1. LIMIT & ORDER BY.vtt 6.7 KB
- 10. Numpy Python Library/5. 5. Numpy Calculations and Operators.vtt 6.6 KB
- 39. Time Series Data Analysis using Python/2. Introduction to Time Series Analysis.vtt 6.5 KB
- 02. Python Basics/9. Dictionaries.vtt 6.5 KB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/6. The Basics of Linear regression & Regression Performance.vtt 6.5 KB
- 25. How to Use Python + SQL/4. Using Pandas Library to load PostgreSQL Data Output file.vtt 6.5 KB
- 18. SQL Time Data management/3. DATE_TRUNC() & DATE_PART().vtt 6.4 KB
- 32. Statistics for Data Science/3. Data visulaization Overview.vtt 6.4 KB
- 01. Python Introduction/6. Understanding Python Data Structure Wrap up.vtt 6.4 KB
- 10. Numpy Python Library/3. 3. Creating Numpy nd arrays using Numpy functions.vtt 6.3 KB
- 31. Project 9 Save The Scraped Data to a Database/1. Save The Scraped Data to a newly created Database.vtt 6.3 KB
- 32. Statistics for Data Science/23. Handling Multicollinearity in Multiple Linear Regression with statsmodels VIF.vtt 6.2 KB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/5. Introduction to Regression.vtt 6.1 KB
- 09. Project 5 Face book Chat Bot/3. Facebook Chat App & Preset Messaging.vtt 6.1 KB
- 08. Project 4 Twiter Chat Bot/2. Part 2.vtt 6.1 KB
- 14. SQL Basics Part 2/1. Where Clause.vtt 6.0 KB
- 02. Python Basics/6. Lists.vtt 6.0 KB
- 39. Time Series Data Analysis using Python/8. Window Functions in Time Series Analysis.vtt 5.9 KB
- 02. Python Basics/10. Control Flow IF.vtt 5.9 KB
- 05. Project 1 in Python/3. Project Solution.vtt 5.8 KB
- 10. Numpy Python Library/8. 8. Numpy Comparing.vtt 5.8 KB
- 36. Project 11 Google App Data Analysis/2. 2. Data Cleaning and Preprocessing of Google App Store Data.vtt 5.8 KB
- 40. Project 14 Time Series Analysis of Betcoin Historical Data dataset/1. Introduction.vtt 5.8 KB
- 39. Time Series Data Analysis using Python/4. Accessing Datetime Attributes, Comparing Datetimes, & Making Relative Datetime.vtt 5.8 KB
- 33. AB Testing Overview using Python/3. Calculating Lift & Significance Testing for Marketing Data in Python.vtt 5.7 KB
- 09. Project 5 Face book Chat Bot/2. Facebook Developer App Creating And Downloading Ngrok.vtt 5.7 KB
- 33. AB Testing Overview using Python/1. Designing an AB Test for Marketing Data in Python.vtt 5.7 KB
- 04. Lots of Python Challenges with Answers/3.1 Try it your self at Udemy coding Environment !.html 5.6 KB
- 19. Intermediate SQL Joins/1. INNER JOIN.vtt 5.6 KB
- 02. Python Basics/23. Files and Modules in Python.vtt 5.6 KB
- 01. Python Introduction/3. Introduction to Python.vtt 5.5 KB
- 38. Project 13 Tabular Playground Series Analysis/1. 1. Reading and Preprocessing Data.vtt 5.5 KB
- 28. Data Visualization/3. Visualizing Trends using a Real-World Financial Data.vtt 5.5 KB
- 39. Time Series Data Analysis using Python/5. Understanding Time Series Growth Rates & Comparing Stock Prices with a Benchmark.vtt 5.4 KB
- 38. Project 13 Tabular Playground Series Analysis/4. 4. Model Training with XGBoost.vtt 5.4 KB
- 30. Project 8 Data Visualization of the Scraped Data/1. Data Visualization of the Scraped Data.vtt 5.3 KB
- 36. Project 11 Google App Data Analysis/4. 4. Statistical Analysis and Hypothesis Testing.vtt 5.3 KB
- 34. Machine Learning Mastery From Basics to Advanced Techniques/2. fish.csv 5.2 KB
- 41. Using ChatGPT and Generative AI for Data/1. Generative AI for Data Analysis.vtt 5.2 KB
- 13. SQL Basics Part 1/1. Select Statement.vtt 5.1 KB
- 19. Intermediate SQL Joins/8. UNION, UNION ALL, INTERSECT & EXCEPT.vtt 5.1 KB
- 20. Intermediate Sub-queries & Common Table Expression in SQL/1. Sub-queries.vtt 5.1 KB
- 39. Time Series Data Analysis using Python/3. Creating, Converting Datetimes from Strings & Manipulating Datetime Data.vtt 5.1 KB
- 36. Project 11 Google App Data Analysis/6. 6. Conclusion.vtt 5.0 KB
- 32. Statistics for Data Science/2. What are data, graphs and charts.vtt 5.0 KB
- 28. Data Visualization/1. Introduction to Data Visualization in Python.vtt 4.9 KB
- 02. Python Basics/14. While Loop Part 2.vtt 4.9 KB
- 03. OOP in Python/9. Learning How to use Build in Decorators.vtt 4.8 KB
- 10. Numpy Python Library/6. 6. Numpy Aggregations.vtt 4.8 KB
- 38. Project 13 Tabular Playground Series Analysis/2. 2. Data Transformation and Visualization.vtt 4.7 KB
- 32. Statistics for Data Science/5. Data Visualization - Line Chart.vtt 4.7 KB
- 21. Advanced PostgreSQL Math & Window functions/4. Window Functions OVER() + LEAD().vtt 4.7 KB
- 26. Project 6 Using Python Pandas in Data Analysis of PostgreSQL Data output/1. Pandas methods and functions.vtt 4.7 KB
- 25. How to Use Python + SQL/3. Querying Using Python Panadas.vtt 4.7 KB
- 19. Intermediate SQL Joins/6. FULL OUTER JOIN.vtt 4.7 KB
- 22. Advanced PostgreSQL String Functions/3. PostgreSQL LEFT(), RIGHT(), BTRIM() & SPLIT_PART() Functions.vtt 4.7 KB
- 04. Lots of Python Challenges with Answers/15.5 Try it your self at Udemy Coding Environment !.html 4.6 KB
- 14. SQL Basics Part 2/5. (Where Clause + BETWEEN & IN) & AS.vtt 4.6 KB
- 14. SQL Basics Part 2/4. Where Clause + LIKE.vtt 4.6 KB
- 04. Lots of Python Challenges with Answers/12.4 Try it your self at Udemy Coding Environment !.html 4.6 KB
- 09. Project 5 Face book Chat Bot/1. Python Flask Library Overview.vtt 4.5 KB
- 11. SQL Introduction/1. Introduction.vtt 4.5 KB
- 03. OOP in Python/4. Learning about Inheritance.vtt 4.4 KB
- 04. Lots of Python Challenges with Answers/6.2 Try it your self at Udemy Coding Environment !.html 4.4 KB
- 21. Advanced PostgreSQL Math & Window functions/3. Window Functions RANK() + OVER() & NTILE() + OVER().vtt 4.3 KB
- 03. OOP in Python/1. Creating Simple Class.vtt 4.3 KB
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- 05. Project 1 in Python/2. Project Helpful Notes.vtt 4.2 KB
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- 02. Python Basics/21. Functions Tips & Tricks Functions Caching & Memoization.vtt 4.1 KB
- 01. Python Introduction/2. Environment Preparing for Python.vtt 4.1 KB
- 10. Numpy Python Library/9. 9. Numpy Images processing.vtt 4.1 KB
- 16. SQL Aggregations/1. COUNT( ) Function, CREATE TABLE & INSERT INTO TABLE.vtt 4.1 KB
- 40. Project 14 Time Series Analysis of Betcoin Historical Data dataset/3. Visualizing Time Series Data.vtt 4.1 KB
- 03. OOP in Python/8. Learning about Decorators.vtt 4.1 KB
- 39. Time Series Data Analysis using Python/7. Changing Time Series Frequency & Down-Sampling.vtt 4.0 KB
- 08. Project 4 Twiter Chat Bot/1. Part 1.vtt 4.0 KB
- 39. Time Series Data Analysis using Python/9. Stock Price Series Analysis with Lags.vtt 4.0 KB
- 32. Statistics for Data Science/1. Introduction.vtt 3.9 KB
- 02. Python Basics/11. For Loop Part 1.vtt 3.9 KB
- 12. Airlines Database Overview/2. SQL Database Overview Part 2.vtt 3.9 KB
- 02. Python Basics/15. While Loop Best Practices.vtt 3.9 KB
- 14. SQL Basics Part 2/2. Operators used with Where Clause.vtt 3.9 KB
- 39. Time Series Data Analysis using Python/6. Changing Time Series Frequency By Up-Sampling & Interpolation.vtt 3.9 KB
- 23. Advanced Other SQL Functions/3. VIEW().vtt 3.8 KB
- 29. Project 7 Data Analysis using SQL + Python/2. Scrape a Table inside a Webpage using Pandas and LXML Python Modules!.vtt 3.7 KB
- 06. Project 2 in Python/1. Project Walk through.vtt 3.7 KB
- 06. Project 2 in Python/2. Project Helful Notes.vtt 3.7 KB
- 26. Project 6 Using Python Pandas in Data Analysis of PostgreSQL Data output/3. Pandas Data Analysis.vtt 3.7 KB
- 15. SQL Basics Part 3/5. CAST.vtt 3.7 KB
- 26. Project 6 Using Python Pandas in Data Analysis of PostgreSQL Data output/4. Sampling Error.vtt 3.6 KB
- 40. Project 14 Time Series Analysis of Betcoin Historical Data dataset/2. Data Preprocessing and Cleaning.vtt 3.6 KB
- 21. Advanced PostgreSQL Math & Window functions/1. Math Functions.vtt 3.6 KB
- 01. Python Introduction/4. Python2 VS Python3.vtt 3.6 KB
- 21. Advanced PostgreSQL Math & Window functions/5. Window Functions OVER() + LAG().vtt 3.6 KB
- 17. SQL Conditional/1. CASE Clause.vtt 3.5 KB
- 19. Intermediate SQL Joins/3. LEFT OUTER JOIN.vtt 3.5 KB
- 22. Advanced PostgreSQL String Functions/2. STRPOS() & REPLACE() in PostgreSQL.vtt 3.5 KB
- 06. Project 2 in Python/3. Project Solution Part 1.vtt 3.4 KB
- 15. SQL Basics Part 3/3. NOT IN.vtt 3.4 KB
- 23. Advanced Other SQL Functions/2. SELECT Statement + INTO & SELECT Statement + INTO + IN.vtt 3.4 KB
- 17. SQL Conditional/2. NULLIF().vtt 3.4 KB
- 03. OOP in Python/3. Learning How to creating Dunder Methods.vtt 3.4 KB
- 04. Lots of Python Challenges with Answers/206. Coding Exercise (99) Solution.html 3.4 KB
- 02. Python Basics/16. Introduction to Functions in Python.vtt 3.3 KB
- 02. Python Basics/7. Tuples.vtt 3.3 KB
- 10. Numpy Python Library/4. 4. Numpy.unique( ) & Array slicing.vtt 3.3 KB
- 03. OOP in Python/6. Learning also about Multiple Inheritance.vtt 3.3 KB
- 02. Python Basics/19. Function Tips & Tricks Functions Decorators and Higher Order Functions.vtt 3.2 KB
- 02. Python Basics/3. String Functions in Python Part 3.vtt 3.2 KB
- 02. Python Basics/17. Functions in Python and Arguments.vtt 3.1 KB
- 02. Python Basics/18. Function Tips & Tricks Recursion.vtt 3.0 KB
- 24. Data Analysis Process Overview/1. Data Analysis Process Overview.vtt 3.0 KB
- 18. SQL Time Data management/4. Double Column + DATE IN PostgreSQL & CURRENT_DATE & now( ).vtt 3.0 KB
- 22. Advanced PostgreSQL String Functions/5. PostgreSQL LOWER(), UPPER() & INITCAP() Functions.vtt 3.0 KB
- 14. SQL Basics Part 2/3. Where Clause + AND & Where Clause + OR.vtt 3.0 KB
- 05. Project 1 in Python/1. Project Walk through.vtt 2.9 KB
- 38. Project 13 Tabular Playground Series Analysis/5. 5. Making Predictions and Submission.vtt 2.9 KB
- 22. Advanced PostgreSQL String Functions/4. PostgreSQL CONCAT Function.vtt 2.8 KB
- 19. Intermediate SQL Joins/4. Deep understanding of LEFT JOIN.vtt 2.8 KB
- 03. OOP in Python/7. Knowing What is the Overriding.vtt 2.8 KB
- 19. Intermediate SQL Joins/5. RIGHT OUTER JOIN.vtt 2.7 KB
- 02. Python Basics/20. Functions Tips & Tricks Lambda Functions.vtt 2.6 KB
- 21. Advanced PostgreSQL Math & Window functions/2. Window Functions OVER().vtt 2.6 KB
- 22. Advanced PostgreSQL String Functions/1. PostgreSQL POSITION Function.vtt 2.6 KB
- 18. SQL Time Data management/2. TIMESTAMP EXTRACT().vtt 2.5 KB
- 37. Project 12 Using Pandas + Automation to Manage a Business Email List/1. Part 1.vtt 2.4 KB
- 11. SQL Introduction/2. PostgreSQL Downloading & Installing.vtt 2.4 KB
- 15. SQL Basics Part 3/2. FETCH vs LIMIT.vtt 2.4 KB
- 15. SQL Basics Part 3/4. ISNULL & IS NOT NULL.vtt 2.3 KB
- 12. Airlines Database Overview/1. SQL Database Overview Part 1.vtt 2.3 KB
- 07. Project 3 in Python/2. Project Helpful Notes.vtt 2.3 KB
- 13. SQL Basics Part 1/2. Select Challenge Solution.vtt 2.3 KB
- 02. Python Basics/2. String Functions in Python Part 2.vtt 2.3 KB
- 04. Lots of Python Challenges with Answers/197. Coding Exercise (95).html 2.3 KB
- 25. How to Use Python + SQL/2. Fetchmany and Fetchall.vtt 2.3 KB
- 19. Intermediate SQL Joins/9. SELF JOIN.vtt 2.2 KB
- 02. Python Basics/5. String Functions in Python Part 5.vtt 2.2 KB
- 03. OOP in Python/5. Knowing What is the Encapsulation.vtt 2.2 KB
- 17. SQL Conditional/3. COALESCE() Function in SQL.vtt 2.2 KB
- 01. Python Introduction/1. Introduction.vtt 2.2 KB
- 19. Intermediate SQL Joins/7. CROSS JOIN.vtt 2.0 KB
- 16. SQL Aggregations/3. MIN( ) , MAX( ) & AVG( ) Functions.vtt 1.9 KB
- 19. Intermediate SQL Joins/10. USING.vtt 1.9 KB
- 16. SQL Aggregations/4. GROUP BY & HAVING.vtt 1.9 KB
- 07. Project 3 in Python/1. Project Walk Through.vtt 1.9 KB
- 18. SQL Time Data management/1. Overview of Time Functions in PostgreSQL.vtt 1.9 KB
- 02. Python Basics/4. String Functions in Python Part 4.vtt 1.8 KB
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- 19. Intermediate SQL Joins/11. NATURAL JOIN.vtt 1.6 KB
- 13. SQL Basics Part 1/3. Select Statement For all Airlines Database Tables.vtt 1.5 KB
- 25. How to Use Python + SQL/1. Installing Jupyter Lab & Pandas.vtt 1.4 KB
- 10. Numpy Python Library/1. 1. Numpy Intro.vtt 1.4 KB
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- 12. Airlines Database Overview/3. SQL Data Types.vtt 1.1 KB
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- 11. SQL Introduction/4. Restoring Database.vtt 1.1 KB
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